TY - GEN
T1 - Enabling mURLLC Under κ-μ Shadowed Fading by Cell-Free mMIMO
AU - Zhang, Biru
AU - Xu, Qingqin
AU - Zhang, Yuting
AU - Zeng, Jie
N1 - Publisher Copyright:
© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2024.
PY - 2024
Y1 - 2024
N2 - It is challenging to meet the requirement for massive ultra-reliable low-latency communications (mURLLC) under complex environments as well as diverse fading channels in the sixth-generation (6G) mobile communication system. In the 6G, user-centered cell-free (CF) architecture equipped with massive multiple input multiple output (mMIMO) technology breaks through the traditional cellular system design concept and is a promising research direction. Based on the CF mMIMO uplink system, we investigate how to implement mURLLC. Firstly, we use the least-squares estimation (LSE) method for channel estimation and obtain the channel estimation matrix which is utilized for obtaining user’s post-processing signal-to-noise ratio (PPSNR) under κ-μ shadowed fading. Secondly, we deduce the probability density function (PDF) of PPSNR. Lastly, an expression for the relationship between the length of pilots (LoP) and the error probability (EP) is available using the information theory of the finite blocklength (FBL). Furthermore, for a given delay condition, we apply the golden section search algorithm (GSSA) to find the optimal LoP. The results of the simulations demonstrate that when the system is configured with appropriate parameters, the mURLLC will be enabled. Moreover, the κ-μ shadowed fading model can characterize almost all classic fading models.
AB - It is challenging to meet the requirement for massive ultra-reliable low-latency communications (mURLLC) under complex environments as well as diverse fading channels in the sixth-generation (6G) mobile communication system. In the 6G, user-centered cell-free (CF) architecture equipped with massive multiple input multiple output (mMIMO) technology breaks through the traditional cellular system design concept and is a promising research direction. Based on the CF mMIMO uplink system, we investigate how to implement mURLLC. Firstly, we use the least-squares estimation (LSE) method for channel estimation and obtain the channel estimation matrix which is utilized for obtaining user’s post-processing signal-to-noise ratio (PPSNR) under κ-μ shadowed fading. Secondly, we deduce the probability density function (PDF) of PPSNR. Lastly, an expression for the relationship between the length of pilots (LoP) and the error probability (EP) is available using the information theory of the finite blocklength (FBL). Furthermore, for a given delay condition, we apply the golden section search algorithm (GSSA) to find the optimal LoP. The results of the simulations demonstrate that when the system is configured with appropriate parameters, the mURLLC will be enabled. Moreover, the κ-μ shadowed fading model can characterize almost all classic fading models.
KW - cell-free (CF)
KW - golden section search algorithm (GSSA)
KW - least-squares estimation (LSE)
KW - massive multiple input multiple output (mMIMO)
KW - massive ultra-reliable low-latency communications (mURLLC)
KW - κ-μ shadowed fading
UR - http://www.scopus.com/inward/record.url?scp=85201966169&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-67162-3_28
DO - 10.1007/978-3-031-67162-3_28
M3 - Conference contribution
AN - SCOPUS:85201966169
SN - 9783031671616
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 447
EP - 458
BT - Communications and Networking - 18th EAI International Conference, ChinaCom 2023, Proceedings
A2 - Gao, Feifei
A2 - Wu, Jun
A2 - Li, Yun
A2 - Gao, Honghao
A2 - Wang, Shangguang
PB - Springer Science and Business Media Deutschland GmbH
T2 - 18th EAI International Conference on Communications and Networking in China, ChinaCom 2023
Y2 - 18 November 2023 through 19 November 2023
ER -